BF-ACS—Intelligent and Immutable Face Recognition Access Control System

IF 1.3 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Wen-Bin Hsieh
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引用次数: 0

Abstract

Biometric authentication is adopted in many access control scenarios in recent years. It is very convenient and secure since it compares the user’s own biometrics with those stored in the database to confirm their identification. Since then, with the vigorous development of machine learning, the performance and accuracy of biometric authentication have been greatly improved. Face recognition technology combined with convolutional neural network (CNN) is extremely efficient and has become the mainstream of access control systems (ACSs). However, identity information and access logs stored in traditional databases can be tampered by malicious insiders. Therefore, we propose a face recognition ACS that is resistant to data forgery. In this paper, a deep convolutional network is utilized to learn Euclidean embedding (based on FaceNet) of each image and achieve face recognition and verification. Quorum, which is built on the Ethereum blockchain, is used to store facial feature vectors and login information. Smart contracts are made to automatically put data into blocks on the chain. One is used to store feature vectors, and the other to record the arrival and departure times of employees. By combining these cutting-edge technologies, an intelligent and immutable ACS that can withstand distributed denial-of-service (DDoS) and other internal and external attacks is created. Finally, an experiment is conducted to assess the effectiveness of the proposed system to demonstrate its practicality.

Abstract Image

智能不可变人脸识别门禁系统
近年来,许多门禁场景都采用了生物特征认证。它将用户自己的生物特征与存储在数据库中的生物特征进行比较,以确认用户的身份,因此非常方便和安全。此后,随着机器学习的蓬勃发展,生物特征认证的性能和准确性得到了极大的提高。结合卷积神经网络(CNN)的人脸识别技术效率极高,已成为门禁系统的主流。然而,存储在传统数据库中的身份信息和访问日志可能被恶意的内部人员篡改。因此,我们提出了一种抗数据伪造的人脸识别ACS。本文利用深度卷积网络学习每个图像的欧几里得嵌入(基于FaceNet),实现人脸识别与验证。Quorum建立在以太坊区块链上,用于存储面部特征向量和登录信息。智能合约是为了自动将数据放入链上的块中。一个用于存储特征向量,另一个用于记录员工的到达和离开时间。通过结合这些尖端技术,可以创建一个智能且不可变的ACS,可以抵御分布式拒绝服务(DDoS)和其他内部和外部攻击。最后,通过实验验证了系统的有效性,验证了系统的实用性。
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来源期刊
IET Information Security
IET Information Security 工程技术-计算机:理论方法
CiteScore
3.80
自引率
7.10%
发文量
47
审稿时长
8.6 months
期刊介绍: IET Information Security publishes original research papers in the following areas of information security and cryptography. Submitting authors should specify clearly in their covering statement the area into which their paper falls. Scope: Access Control and Database Security Ad-Hoc Network Aspects Anonymity and E-Voting Authentication Block Ciphers and Hash Functions Blockchain, Bitcoin (Technical aspects only) Broadcast Encryption and Traitor Tracing Combinatorial Aspects Covert Channels and Information Flow Critical Infrastructures Cryptanalysis Dependability Digital Rights Management Digital Signature Schemes Digital Steganography Economic Aspects of Information Security Elliptic Curve Cryptography and Number Theory Embedded Systems Aspects Embedded Systems Security and Forensics Financial Cryptography Firewall Security Formal Methods and Security Verification Human Aspects Information Warfare and Survivability Intrusion Detection Java and XML Security Key Distribution Key Management Malware Multi-Party Computation and Threshold Cryptography Peer-to-peer Security PKIs Public-Key and Hybrid Encryption Quantum Cryptography Risks of using Computers Robust Networks Secret Sharing Secure Electronic Commerce Software Obfuscation Stream Ciphers Trust Models Watermarking and Fingerprinting Special Issues. Current Call for Papers: Security on Mobile and IoT devices - https://digital-library.theiet.org/files/IET_IFS_SMID_CFP.pdf
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